Real-world AI for Sales Docs: Two quick wins you can steal

CIPHER Medical - small team, bigger bid engine

• Uses an AI-assisted library of past wins to spit out solid first drafts for NHS/council tenders.

• Senior bid leads still polish, but the slog (standard sections, policy/evidence blurbs) comes pre-filled and on-brand.

• Outcome: more tenders chased without weekend burn.
  Track: time to first draft; bids per FTE; % reuse of approved text.

CIPHER Medical had the classic SME headache: loads of NHS/council tenders, not enough people to write them. They pulled in a bid partner with an AI-assisted library of proven answers. Step one was simple but powerful—dump past bids, proofs, and service notes into one clean, searchable “single source of truth.”

From there, the assistant spits out good first drafts instead of blank pages. Senior bid folks still shape the voice and compliance, but the heavy lifting—standard sections, policy wording, evidence blurbs—arrives pre-filled and consistent.

Day to day, kickoff meetings got shorter, writers stopped hunting old files, and the team could go after more tenders without burning weekends. Quality stayed steady because everyone pulled from the same approved language.

Bottom line: more bids per quarter, quicker time from “opportunity spotted” to “draft ready for pricing/legal,” and a fighting chance against bigger rivals—without hiring a whole bid department.

UK construction consultancy - proposals at scale without melting the marketing team

• Built a shared library of best-in-class proposals linked to the RFPs they won; assistant assembles first-pass responses.

• Writers start with a structured draft (exec summary, method statements, proofs) in the firm’s voice; reviewers see familiar, vetted text.

• Outcome: faster cycles, steadier tone across offices, smoother sign-offs.
  Track: RFP-to-draft cycle time; approval rounds per bid; win rate on standard sections.

A UK consulting firm was cranking out hundreds of proposals a year. Too much time reading RFPs, too much copy-pasting from old docs, and too many last-minute scrambles. They ran a short pilot: build a shared library of the best past proposals (linked to the RFPs they won) and let an assistant assemble a first pass for the new bid.

Writers opened a draft that already had an exec summary, method statements, and case proofs in the firm’s tone. Subject-matter experts fixed the nuance instead of starting from zero. Adoption stuck because the tool lived in the existing process and reused approved wording—no “mystery AI” vibes.

The practical shift was cycle time: faster from RFP to structured draft, way more consistent voice across offices, and smoother sign-offs because reviewers saw familiar, vetted text. Less chaos at deadlines; more bids moving in parallel.

Commercially, that means more compliant proposals out the door, fewer “no-bid” decisions due to bandwidth, and healthier margins because pricing narratives and assumptions are standardised instead of reinvented.

For help in getting started contact us at: https://www.aisteari.com/contact-us